Combinatorics of Non-Ribosomal Peptide Synthetases

Autor: Knudsen, Michael, Søndergaard, Dan, Pedersen, Christian Nørgaard Storm

Publikováno v: Knudsen, M, Søndergaard, D & Pedersen, C N S 2014, ' Combinatorics of Non-Ribosomal Peptide Synthetases ' .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::616d011dd1d47d56dc0ad10ed2dac597
https://pure.au.dk/portal/da/publications/combinatorics-of-nonribosomal-peptide-synthetases(24b24a63-97d2-4e97-93ad-34c56c3c8543).html

A practical O(n log2 n) time algorithm for computing the triplet distance on binary trees

Autor: Sand, Andreas, Pedersen, Christian Nørgaard Storm, Mailund, Thomas, Brodal, Gerth Stølting, Fagerberg, Rolf

Publikováno v: Sand, A, Brodal, G S, Fagerberg, R, Pedersen, C N S & Mailund, T 2013, ' A practical O ( n log 2 n ) time algorithm for computing the triplet distance on binary trees ', B M C Bioinformatics, vol. 14, no. Suppl. 2, S18 . https://doi.org/10.1186/1471-2105-14-S2-S18
Sand, A, Pedersen, C N S, Mailund, T, Brodal, G S & Fagerberg, R 2013, ' A practical O( n log 2 n ) time algorithm for computing the triplet distance on binary trees ', B M C Bioinformatics, vol. 14, no. Suppl 2, pp. S18 . https://doi.org/10.1186/1471-2105-14-S2-S18

The triplet distance is a distance measure that compares two rooted trees on the same set of leaves byenumerating all sub-sets of three leaves and counting how often the induced topologies of the tree are equal ordifferent. We present an algorithm th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2eebee15696df76849a44aff65c2c4a5
https://findresearcher.sdu.dk:8443/ws/files/121128715/art_3A10.1186_2F1471_2105_14_S2_S18.pdf

Inference of Large Phylogenies Using Neighbour-Joining

Autor: Simonsen, Martin, Mailund, Thomas, Pedersen, Christian Nørgaard Storm

Publikováno v: Simonsen, M, Mailund, T & Pedersen, C N S 2011, ' Inference of Large Phylogenies Using Neighbour-Joining ', Biomedical Engineering Systems and Technologies, vol. 127, no. 5, pp. 334-344 . https://doi.org/10.1007/978-3-642-18472-7_26

The neighbour-joining method is a widely used method for phylogenetic reconstruction which scales to thousands of taxa. However, advances in sequencing technology have made data sets with more than 10,000 related taxa widely available. Inference of s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::f2bd6914002cb74c0497ac40fc2a1c1b
https://pure.au.dk/portal/da/publications/inference-of-large-phylogenies-using-neighbourjoining(a6d1626c-b13e-4171-a8a2-8928e19142ab).html

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Autor: Simonsen, Martin, Thomsen, R., Christensen, M. H., Pedersen, Christian Nørgaard Storm

Publikováno v: Simonsen, M, Thomsen, R, Christensen, M H & Pedersen, C N S 2011, GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution . in GECCO'11 Proceedings of the 13th annual conference on Genetic and evolutionary computation . Association for Computing Machinery, pp. 1803-1810 . https://doi.org/10.1145/2001576.2001818

The objective in molecular docking is to determine the best binding mode of two molecules in silico. A common applica- tion of molecular docking is in drug discovery where a large number of ligands are docked against a protein to identify potential d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::c80a79007bec4ae45340ef3b8f4b14e4
https://pure.au.dk/portal/da/publications/gpuaccelerated-highaccuracy-molecular-docking-using-guided-differential-evolution(e6da0c7e-6351-4f8d-82cf-986c52bded33).html

HMMlib: A C++ Library for General Hidden Markov Models Exploiting Modern CPUs

Autor: Sand, Andreas, Brask, Asbjørn Tølbøl, Pedersen, Christian Nørgaard Storm, Mailund, Thomas

Publikováno v: Sand, A, Brask, A T, Pedersen, C N S, Mailund, T & Brask, A T 2010, HMMlib: A C++ Library for General Hidden Markov Models Exploiting Modern CPUs . in 2010 Ninth International Workshop on Parallel and Distributed Methods in Verification and Second International Workshop on High Performance Computational Systems Biology . IEEE, pp. 126-134, Twente, Netherlands, 30/09/2010 .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::2dc15b68d16873409a024b111569ad6a
https://pure.au.dk/portal/da/publications/hmmlib-a-c-library-for-general-hidden-markov-models-exploiting-modern-cpus(ca02f500-d793-11df-a891-000ea68e967b).html